Structural and operational factors as determinant of meaningful community participation in sustainable disaster recovery programs: The case of Bangladesh

Islam, Emadul; Wahab, Haris Abd; Benson, Odessa González

doi:10.1016/j.ijdrr.2020.101710

Cited by 35 publications

(19 citation statements)

References 50 publications

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“…The community was not satisfied with the relief response, reconstruction of houses by NGOs, and financial assistance provided by the government. The authorities at the district and sub-district level are unable to implement medium to long-term emergency plans and interventions to mitigate the floods [47][48][49].…”

Section: Discussionmentioning

confidence: 99%

“…The emergency services and response plans are the variables for the institutional Dimension of community resilience, as stated by [43,45]. Table 2 below represents the findings of a comparison of satisfaction level between government and NGOs against emergency relief received by the affected community of 2010 flood in four localities of district Layyah using Yeh's Index of Satisfaction [47]. The results show that respondents had a very low satisfaction level in SW (−1.56) and KHS (−1.76) for the government.…”

Section: Satisfaction Level Of Communities Towards Government and Organization Role Comparison Of Satisfaction Level Against Emergency Rementioning

confidence: 99%

“…This includes "floodproofing" by food for work to support the community. The works include plinth level upraising of the house for five-year flood stratum, schools to 20-year flood level, and village level safety plans that enable to meet emergency relief services [47,[59][60][61]. Furthermore, policymaking and risk analysis help in understanding and predicting the responses of the public to flood hazards by improving communication among the locals, the professionals, and all the decisionmakers [62].…”

Section: Recommendationsmentioning

confidence: 99%

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Post-Flood Risk Management and Resilience Building Practices: A Case Study

Munawar

Khan

Anum³

et al. 2021

Applied Sciences

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The study was conducted to assess the post 2010 flood risk management and resilience-building practices in District Layyah, Pakistan. Exploratory research was applied to gain knowledge of flood risk management to embed the disaster risk reduction, mitigation, and adaptation strategies at the local government and community level. Around 200 questionnaires were collected from the four devastated areas/union councils. Primary data from the field uncovered flood risk management practices by organizations, local government, and the community. It highlights resilience-building practices undertaken by the community through rehabilitation, community participation, and local indigenous practices. The role of the District Layyah’s local government and organizations to mitigate the 2010 flood and their contribution towards flood resilience in affected communities was investigated, as no comparable studies were carried out in the riverine belt of District Layyah previously. Moreover, the tangible and non-tangible measures to lessen the vulnerability to floods and improve flood risk governance at a local level were identified. This study makes a valuable contribution in strengthening the resilience building of vulnerable communities by recommending few changes in existing practices concerning flood risk at a local level.

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Section: Discussionmentioning

confidence: 99%

Section: Satisfaction Level Of Communities Towards Government and Organization Role Comparison Of Satisfaction Level Against Emergency Rementioning

confidence: 99%

Section: Recommendationsmentioning

confidence: 99%

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Post-Flood Risk Management and Resilience Building Practices: A Case Study

Munawar

Khan

Anum³

et al. 2021

Applied Sciences

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“…This rehabilitation activity does not only concentrate on physical work but focuses more on social recovery. So the success of rehabilitation is not only measured by the recovery of physical conditions and infrastructure, but rather by the recovery of all community activities [10].…”

Section: Rehabilitation and Reconstructionmentioning

confidence: 99%

Data Mining Applied for Community Satisfaction Prediction of Rehabilitation and Reconstruction Project (Learn from Palu Disasters)

Rifai¹

2022

Artificial Intelligence

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Natural disasters can occur anytime and anywhere, especially in areas with high disaster risk. The earthquake that followed the tsunami and liquefaction in Palu, Indonesia, at the end of 2018 had caused tremendous damage. In recent years, rehabilitation and reconstruction projects have been implemented to restore the situation and accelerate economic growth. A study is needed to determine whether the rehabilitation and reconstruction that has been carried out for three years have met community satisfaction. The results of further analysis are expected to predict the level of community satisfaction for the implementation of rehabilitation and other reconstruction. The method used in this paper is predictive modeling using a data mining (DM) approach. Data were collected from all rehabilitation and reconstruction activities in Palu, Sigi, and Donggala with the scope of the earthquake, tsunami, and liquefaction disasters. The analysis results show that the Artificial Neural Network (ANN) and the support vector machine (SVM) with a DM approach can develop a community satisfaction prediction model to implement rehabilitation and reconstruction after the earthquake-tsunami and liquefaction disasters.

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“…More support should be given to a procedural system that does not, in principle, take into account the type of an event, but guarantees that all the important tasks are fulfilled. Several approaches tend to believe that the inclusion of society (communities, people) in the DRM or the DRR is the mainstay of such an approach [21]- [25]. At the same time, the importance of the position of the public is emphasized in the framework of building a resilient society, vulnerability-reducing, or the abovementioned BBB principle [26], [27].…”

Section: Introductionmentioning

confidence: 99%

Disaster Preparedness and Sustainable Disaster Risk Management in a Changing Environment

Titko

Sedliaková

2020

WIT Transactions on Ecology and the Environment

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The cost of climate change-related disasters in terms of the lives lost and the damages to the social, economic and environmental assets are predicted to be higher. Disaster risk management is one of the crucial pillars with which to face this emerging trend in order to ensure the goals of are achieved sustainable development. However, the sustainability of the disaster risk management development is also significantly more complicated in changing conditions. It is necessary to look for ways to build a disaster-resilient society. This paper focuses on exploring the possibilities of supporting the sustainability of the disaster risk management through the involvement of the general public into it. The objective of this paper is to present the results from assessing the preparedness for the disasters in the Slovak Republic with an emphasis on the changing climate and environment (from population perspective). The research is based on the exploration of the questionnaire survey's results aimed at investigating the preparedness and preventive proactive behaviour of the population against the disasters. The results suggest that the disaster risk awareness and overall disaster preparedness level is rather poor and the population is inactive. The proactive behaviour of the respondents against the disasters is partially affected by some of their personality and socio-economic characteristics; especially, the younger respondents currently incline more toward adopting the protective measures. In addition, other aspects, e.g. the negative experience with the disasters in the past have an influence on the preparedness. The possibilities of increasing the preparedness of the population and their engagement into sustainable disaster risk management system are also discussed in this paper.

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Structural and operational factors as determinant of meaningful community participation in sustainable disaster recovery programs: The case of Bangladesh

Cited by 35 publications

References 50 publications

Post-Flood Risk Management and Resilience Building Practices: A Case Study

Post-Flood Risk Management and Resilience Building Practices: A Case Study

Data Mining Applied for Community Satisfaction Prediction of Rehabilitation and Reconstruction Project (Learn from Palu Disasters)

Disaster Preparedness and Sustainable Disaster Risk Management in a Changing Environment

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